Get fresh updates from Hortonworks by email

Once a month, receive latest insights, trends, analytics information and knowledge of Big Data.


Sign up for the Developers Newsletter

Once a month, receive latest insights, trends, analytics information and knowledge of Big Data.


Get Started


Ready to Get Started?

Download sandbox

How can we help you?

* I understand I can unsubscribe at any time. I also acknowledge the additional information found in Hortonworks Privacy Policy.
closeClose button
October 29, 2014
prev slideNext slide

Delivering the Modern Data Architecture with Hortonworks and CISCO

Exponential increases in data volumes have forced the data architect and analyst to build much larger and distributed data environments — potentially comprised of hundreds, and sometimes even thousands of servers and switches. Scaling to these cluster sizes does not come without challenges in terms of costs, security and integration with existing infrastructure.

The combination of the Hortonworks Data Platform (HDP) and Cisco UCS allows IT departments and business decisions makers to adopt a new, cost-effective management, massively scalable and secure approach to data within the enterprise. Apache Hadoop provides the open source framework for distributed storage and processing of large sets of data on commodity hardware, so companies now quickly gain insight from their massive amounts of structured and unstructured data for a fraction of the price of traditional approaches.

The point is not to replace the current data infrastructure. Instead, Hadoop allows to optimize the use of the existing system and move appropriate workloads to Hadoop as a complementary component in their “modern data architecture”. Organizations leverage Apache Hadoop to manage all their enterprise data at high scale while integrating with and complementing their existing systems. With this new approach, CISCO and Hortonworks allow organizations to:

  • Take advantage of new types of data in their analysis or possibly consider more of their existing data.
  • Optimize some of their current systems and eliminate inefficiencies.
  • Ultimately, implement a modern data architecture where as single pool of data serves a great whole of the enterprise.

Apache Hadoop has become a strategic data platform as it offers the fastest path for businesses to unlock value in big data while maximizing existing investments. The Hortonworks Data Platform (HDP) is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor. The combination of HDP and Cisco UCS provides industry-leading platform for Hadoop based applications. YARN, the data operating system within Hadoop, makes it possible to store a pool of data in one cluster and access them with a variety of processing engines. This means that your organization can get more value out of their data and their Hadoop infrastructure.

On October 21st, learn how Apache Hadoop and CISCO allow building the ideal infrastructure for the long-term Big Data success. Register for the webinar today!


Leave a Reply

Your email address will not be published. Required fields are marked *